PiAutoStage: An Open‐Source 3D Printed Tool for the Automatic Collection of High‐Resolution Microscope Imagery
Abstract We have created an open‐source 3D printable microscope automatic stage and integrated camera system capable of providing a means for imaging microscope slides—the PiAutoStage. The PiAutoStage was developed to interface with the high‐quality optics of existing microscopes by creating an adap...
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| Format: | Article |
| Language: | English |
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Wiley
2021-05-01
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| Series: | Geochemistry, Geophysics, Geosystems |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2021GC009693 |
| _version_ | 1797638138956349440 |
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| author | R. Alex Steiner Tyrone O. Rooney |
| author_facet | R. Alex Steiner Tyrone O. Rooney |
| author_sort | R. Alex Steiner |
| collection | DOAJ |
| description | Abstract We have created an open‐source 3D printable microscope automatic stage and integrated camera system capable of providing a means for imaging microscope slides—the PiAutoStage. The PiAutoStage was developed to interface with the high‐quality optics of existing microscopes by creating an adaptable system that can be used in conjunction with a range of microscope configurations. The PiAutoStage automatically captures the entire area of a microscope slide in a series of overlapping high‐resolution images, which can then be stitched into a single panoramic image. We have demonstrated the utility of the PiAutoStage when attached to a transmitted light microscope by creating high‐fidelity image stacks of rock specimens in plane polarized and cross‐polarized light. We have shown that the PiAutoStage is compatible with microscopes that do not currently have a camera attachment by using two different optical trains within the same microscope: one set of imagery collected through the photography tube of a trinocular microscope, and a second set through a camera mounted to an ocular. We furthermore establish the broad adaptability of the PiAutoStage system by attaching it to a reflected light stereo dissection microscope to capture images of microfossils. We discuss strategies for the online delivery of these large‐sized images in a data efficient manner through the application of tiled imagery and open‐source Java‐based web viewers. The low cost of the PiAutoStage system, combined with the data‐efficient mechanisms of online delivery make this system an important tool in promoting the universal accessibility of high‐resolution microscope imagery. |
| first_indexed | 2024-03-11T12:58:10Z |
| format | Article |
| id | doaj.art-145049b8f6124d699fc5a6e141a0abf7 |
| institution | Directory Open Access Journal |
| issn | 1525-2027 |
| language | English |
| last_indexed | 2024-03-11T12:58:10Z |
| publishDate | 2021-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geochemistry, Geophysics, Geosystems |
| spelling | doaj.art-145049b8f6124d699fc5a6e141a0abf72023-11-03T16:55:31ZengWileyGeochemistry, Geophysics, Geosystems1525-20272021-05-01225n/an/a10.1029/2021GC009693PiAutoStage: An Open‐Source 3D Printed Tool for the Automatic Collection of High‐Resolution Microscope ImageryR. Alex Steiner0Tyrone O. Rooney1Department of Earth and Environmental Sciences Michigan State University East Lansing MI USADepartment of Earth and Environmental Sciences Michigan State University East Lansing MI USAAbstract We have created an open‐source 3D printable microscope automatic stage and integrated camera system capable of providing a means for imaging microscope slides—the PiAutoStage. The PiAutoStage was developed to interface with the high‐quality optics of existing microscopes by creating an adaptable system that can be used in conjunction with a range of microscope configurations. The PiAutoStage automatically captures the entire area of a microscope slide in a series of overlapping high‐resolution images, which can then be stitched into a single panoramic image. We have demonstrated the utility of the PiAutoStage when attached to a transmitted light microscope by creating high‐fidelity image stacks of rock specimens in plane polarized and cross‐polarized light. We have shown that the PiAutoStage is compatible with microscopes that do not currently have a camera attachment by using two different optical trains within the same microscope: one set of imagery collected through the photography tube of a trinocular microscope, and a second set through a camera mounted to an ocular. We furthermore establish the broad adaptability of the PiAutoStage system by attaching it to a reflected light stereo dissection microscope to capture images of microfossils. We discuss strategies for the online delivery of these large‐sized images in a data efficient manner through the application of tiled imagery and open‐source Java‐based web viewers. The low cost of the PiAutoStage system, combined with the data‐efficient mechanisms of online delivery make this system an important tool in promoting the universal accessibility of high‐resolution microscope imagery.https://doi.org/10.1029/2021GC009693Automated imaginggeoscience accessibilityopen sourcepetrography |
| spellingShingle | R. Alex Steiner Tyrone O. Rooney PiAutoStage: An Open‐Source 3D Printed Tool for the Automatic Collection of High‐Resolution Microscope Imagery Geochemistry, Geophysics, Geosystems Automated imaging geoscience accessibility open source petrography |
| title | PiAutoStage: An Open‐Source 3D Printed Tool for the Automatic Collection of High‐Resolution Microscope Imagery |
| title_full | PiAutoStage: An Open‐Source 3D Printed Tool for the Automatic Collection of High‐Resolution Microscope Imagery |
| title_fullStr | PiAutoStage: An Open‐Source 3D Printed Tool for the Automatic Collection of High‐Resolution Microscope Imagery |
| title_full_unstemmed | PiAutoStage: An Open‐Source 3D Printed Tool for the Automatic Collection of High‐Resolution Microscope Imagery |
| title_short | PiAutoStage: An Open‐Source 3D Printed Tool for the Automatic Collection of High‐Resolution Microscope Imagery |
| title_sort | piautostage an open source 3d printed tool for the automatic collection of high resolution microscope imagery |
| topic | Automated imaging geoscience accessibility open source petrography |
| url | https://doi.org/10.1029/2021GC009693 |
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